This notebook contains a set of analyses for analyzing GOBBluth89 boardgamegeek collection. The bulk of the analysis is focused on building a user-specific predictive model to predict the games that the specified user is likely to own. This enables us to ask questions like, based on the games the user currently owns, what games are a good fit for their collection? What upcoming games are they likely to purchase?
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We can look at a basic description of the number of games that the user owns, has rated, has previously owned, etc.
What years has the user owned/rated games from? While we can’t see when a user added or removed a game from their collection, we can look at their collection by the years in which their games were published.
We can look at the most frequent types of categories, mechanics, designers, and artists that appear in a user’s collection.
We’ll examine a predictive model trained on a user’s collection for games published through 2020. How many games has the user owned/rated/played in the training set (games prior to 2020)?
username | dataset | period | games_owned | games_rated |
GOBBluth89 | training | published before 2020 | 72 | 0 |
GOBBluth89 | validation | published 2020 | 12 | 0 |
GOBBluth89 | test | published after 2020 | 3 | 0 |
The main outcome we will be modeling for the user is owned, which refers to whether the user currently owns or has a previously owned a game in their collection. Our goal is to train a predictive model to learn the probability that a user will add a game to their collection based on its observable features.
We can examine coefficients from the model we trained, which is a logistic regression with elastic net regularization (which I will refer to as a penalized logistic regression). Positive values indicate that a feature increases a user’s probability of owning/rating a game, while negative values indicate a feature decreases the probability. To be precise, the coefficients indicate the effect of a particular feature on the log-odds of a user owning a game.
Why did the model identify these features? We can make density plots of the important features for predicting whether the user owned a game. Blue indicates the density for games owned by the user, while grey indicates the density for games not owned by the user.
Binary predictors can be difficult to see with this visualization, so we can also directly examine the percentage of games in a user’s collection with a predictor vs the percentage of all games with that predictor.
% of Games with Feature | ||||
username | Feature | In_Collection | All_Games | Ratio |
GOBBluth89 | Artist Henning Ludvigsen | 12.5% | 0.3% | 36.83 |
GOBBluth89 | Artist Chris Quilliams | 9.7% | 0.4% | 23.66 |
GOBBluth89 | Fantasy Flight Games | 33.3% | 1.9% | 17.94 |
GOBBluth89 | Collectible Components | 18.1% | 1.8% | 10.11 |
GOBBluth89 | CMON Global Limited | 5.6% | 0.6% | 9.42 |
GOBBluth89 | Variable Setup | 15.3% | 1.7% | 9.05 |
GOBBluth89 | Wooden Pieces Boards | 11.1% | 1.3% | 8.89 |
GOBBluth89 | Space Cowboys | 2.8% | 0.3% | 8.64 |
GOBBluth89 | Race | 11.1% | 1.4% | 8.03 |
GOBBluth89 | Asmodee | 31.9% | 4.0% | 8.00 |
GOBBluth89 | Multiuse Cards | 8.3% | 1.1% | 7.65 |
GOBBluth89 | Sand Timers | 5.6% | 1.2% | 4.68 |
GOBBluth89 | Iello | 9.7% | 2.2% | 4.46 |
GOBBluth89 | Dice With Icons | 6.9% | 1.6% | 4.44 |
GOBBluth89 | Artist Klemens Franz | 4.2% | 0.9% | 4.40 |
GOBBluth89 | Bluffing | 23.6% | 6.2% | 3.81 |
GOBBluth89 | Voting | 8.3% | 2.2% | 3.75 |
GOBBluth89 | Acting | 4.2% | 1.1% | 3.73 |
GOBBluth89 | Trading | 11.1% | 3.0% | 3.67 |
GOBBluth89 | Storytelling | 6.9% | 2.2% | 3.19 |
GOBBluth89 | Mayfair Games | 5.6% | 1.8% | 3.13 |
GOBBluth89 | Deduction Game | 13.9% | 5.8% | 2.39 |
GOBBluth89 | Hand Management | 55.6% | 24.2% | 2.30 |
GOBBluth89 | Fantasy | 16.7% | 13.8% | 1.21 |
GOBBluth89 | Artist Miguel Coimbra | 0.0% | 0.5% | 0.00 |
Before predicting games in upcoming years, we can examine how well the model did and what games it liked in the training set. In this case, we used resampling techniques (cross validation) to ensure that the model had not seen a game before making its predictions.
An easy way to examine the performance of classification model is to view a separation plot. We plot the predicted probabilities from the model for every game (from resampling) from lowest to highest. We then overlay a blue line for any game that the user does own. A good classifier is one that is able to separate the blue (games owned by the user) from the white (games not owned by the user), with most of the blue occurring at the highest probabilities (right side of the chart).
We can display this information in table form, displaying the 100 games with the highest probability of ownership, adding a blue line when the user does own the game.
Rank | Published | ID | Name | Pr(Owned) | Owned |
1 | 2008 | 37111 | Battlestar Galactica: The Board Game | 0.967 | no |
2 | 2012 | 124742 | Android: Netrunner | 0.847 | yes |
3 | 2016 | 205637 | Arkham Horror: The Card Game | 0.765 | yes |
4 | 2017 | 233078 | Twilight Imperium: Fourth Edition | 0.761 | yes |
5 | 2018 | 244711 | Newton | 0.714 | no |
6 | 2016 | 198928 | Pandemic: Iberia | 0.668 | no |
7 | 2016 | 205359 | Star Wars: Destiny | 0.618 | yes |
8 | 2019 | 285774 | Marvel Champions: The Card Game | 0.594 | yes |
9 | 2015 | 172386 | Mombasa | 0.581 | no |
10 | 2017 | 221107 | Pandemic Legacy: Season 2 | 0.553 | no |
11 | 2019 | 276025 | Maracaibo | 0.551 | no |
12 | 2018 | 205896 | Rising Sun | 0.545 | no |
13 | 2008 | 22826 | Mutant Chronicles Collectible Miniatures Game | 0.537 | no |
14 | 2012 | 104363 | Rex: Final Days of an Empire | 0.515 | no |
15 | 2010 | 25292 | Merchants & Marauders | 0.510 | no |
16 | 2012 | 131646 | Merchant of Venus (Second Edition) | 0.493 | no |
17 | 2018 | 313010 | Cosmic Encounter: 42nd Anniversary Edition | 0.490 | no |
18 | 2012 | 105551 | Archipelago | 0.462 | yes |
19 | 2018 | 252328 | Star Wars: X-Wing (Second Edition) | 0.444 | yes |
20 | 2016 | 187645 | Star Wars: Rebellion | 0.434 | no |
21 | 2011 | 77423 | The Lord of the Rings: The Card Game | 0.431 | yes |
22 | 2012 | 104162 | Descent: Journeys in the Dark (Second Edition) | 0.404 | no |
23 | 2018 | 257501 | KeyForge: Call of the Archons | 0.395 | yes |
24 | 2013 | 144239 | Impulse | 0.368 | no |
25 | 2014 | 164153 | Star Wars: Imperial Assault | 0.359 | yes |
26 | 2016 | 205716 | New Angeles | 0.359 | no |
27 | 2017 | 184151 | Legend of the Five Rings: The Card Game | 0.357 | no |
28 | 2018 | 256226 | Azul: Stained Glass of Sintra | 0.352 | no |
29 | 2008 | 39953 | A Game of Thrones: The Card Game | 0.342 | no |
30 | 2012 | 103885 | Star Wars: X-Wing Miniatures Game | 0.340 | yes |
31 | 2018 | 262215 | Blackout: Hong Kong | 0.337 | no |
32 | 2008 | 40270 | Call of Cthulhu: The Card Game | 0.320 | no |
33 | 2011 | 83330 | Mansions of Madness | 0.314 | no |
34 | 2019 | 281946 | Aftermath | 0.311 | no |
35 | 2015 | 169255 | A Game of Thrones: The Card Game (Second Edition) | 0.310 | yes |
36 | 2011 | 96848 | Mage Knight Board Game | 0.305 | no |
37 | 2018 | 258444 | Gingerbread House | 0.299 | no |
38 | 2019 | 270970 | Century: A New World | 0.295 | no |
39 | 2002 | 4286 | A Game of Thrones Collectible Card Game | 0.289 | no |
40 | 2019 | 272453 | KeyForge: Age of Ascension | 0.269 | no |
41 | 2018 | 245638 | Coimbra | 0.254 | no |
42 | 2018 | 237182 | Root | 0.252 | yes |
43 | 2012 | 85394 | The Last Banquet | 0.244 | no |
44 | 1995 | 13 | Catan | 0.237 | yes |
45 | 2014 | 148228 | Splendor | 0.231 | no |
46 | 2015 | 175155 | Forbidden Stars | 0.226 | yes |
47 | 2007 | 22827 | StarCraft: The Board Game | 0.222 | no |
48 | 2017 | 232918 | Fallout | 0.215 | no |
49 | 1997 | 42 | Tigris & Euphrates | 0.215 | no |
50 | 2018 | 225694 | Decrypto | 0.211 | no |
51 | 2015 | 183562 | Star Wars: X-Wing Miniatures Game – The Force Awakens Core Set | 0.211 | no |
52 | 2016 | 205059 | Mansions of Madness: Second Edition | 0.207 | no |
53 | 2010 | 68182 | Isla Dorada | 0.200 | no |
54 | 2011 | 59959 | Letters from Whitechapel | 0.199 | no |
55 | 2009 | 31563 | Middle-Earth Quest | 0.196 | no |
56 | 2017 | 230059 | Crossfire | 0.195 | no |
57 | 2000 | 26055 | Twilight Imperium: Second Edition | 0.192 | no |
58 | 2016 | 192153 | Pandemic: Reign of Cthulhu | 0.192 | no |
59 | 2008 | 38453 | Space Alert | 0.190 | no |
60 | 2015 | 183840 | Oh My Goods! | 0.189 | no |
61 | 2011 | 102548 | Dungeon Fighter | 0.182 | no |
62 | 2002 | 4390 | Carcassonne: Hunters and Gatherers | 0.181 | no |
63 | 2011 | 42776 | Gears of War: The Board Game | 0.177 | yes |
64 | 2019 | 262543 | Wavelength | 0.176 | yes |
65 | 2012 | 103886 | Star Wars: The Card Game | 0.176 | yes |
66 | 2018 | 257499 | Arkham Horror (Third Edition) | 0.172 | no |
67 | 2004 | 9609 | War of the Ring | 0.168 | no |
68 | 1994 | 2122 | Vampire: The Eternal Struggle | 0.165 | no |
69 | 2019 | 265684 | Subtext | 0.163 | no |
70 | 2017 | 215311 | Downforce | 0.162 | no |
71 | 2001 | 2902 | Twilight Imperium: Armada | 0.162 | no |
72 | 2016 | 182218 | Hoax (Second Edition) | 0.159 | no |
73 | 2016 | 198773 | Codenames: Pictures | 0.147 | no |
74 | 2019 | 271896 | Star Wars: Outer Rim | 0.137 | yes |
75 | 2018 | 244521 | The Quacks of Quedlinburg | 0.137 | yes |
76 | 2005 | 18833 | Lord of the Rings: The Confrontation | 0.136 | no |
77 | 2013 | 140620 | Lewis & Clark: The Expedition | 0.135 | no |
78 | 2010 | 77130 | Sid Meier's Civilization: The Board Game | 0.134 | no |
79 | 2019 | 287607 | The Mind Extreme | 0.134 | no |
80 | 2010 | 67492 | Battles of Westeros | 0.133 | no |
81 | 2014 | 154458 | Akrotiri | 0.132 | no |
82 | 2016 | 192291 | Sushi Go Party! | 0.126 | no |
83 | 2004 | 8817 | Call of Cthulhu: Collectible Card Game | 0.123 | no |
84 | 2018 | 246192 | Gizmos | 0.123 | no |
85 | 1995 | 112 | Condottiere | 0.121 | no |
86 | 2003 | 6472 | A Game of Thrones | 0.121 | no |
87 | 2014 | 153938 | Camel Up | 0.120 | no |
88 | 2019 | 253344 | Cthulhu: Death May Die | 0.117 | no |
89 | 2013 | 142325 | Kobayakawa | 0.116 | no |
90 | 2017 | 234621 | Tybor the Builder | 0.116 | no |
91 | 2001 | 5791 | Maelstrom | 0.116 | no |
92 | 2019 | 270168 | Tuki | 0.115 | no |
93 | 2006 | 21241 | Neuroshima Hex! 3.0 | 0.114 | no |
94 | 2015 | 163745 | Star Wars: Armada | 0.114 | yes |
95 | 2014 | 160499 | King of New York | 0.111 | no |
96 | 2017 | 220775 | Codenames: Disney – Family Edition | 0.110 | no |
97 | 2000 | 478 | Citadels | 0.108 | no |
98 | 2016 | 176083 | Hit Z Road | 0.108 | no |
99 | 2014 | 156776 | Warhammer 40,000: Conquest | 0.107 | yes |
100 | 2012 | 40765 | Clash of Cultures | 0.107 | no |
We can also more formally assess how well the model did in resampling by looking at the area under the receiver operating characteristic. A perfect model would receive a score of 1, while a model that cannot predict the outcome will default to a score of 0.5. The extent to which something is a good score depends on the setting, but generally anything in the .8 to .9 range is very good while the .7 to .8 range is perfectly acceptable.
Another way to think about the model performance is to view its lift, or its ability to detect the positive outcomes over that of a null model. High lift indicates the model can much more quickly find all of the positive outcomes (in this case, games owned or played by the user), while a model with no lift is no better than random guessing. A gains chart is another way to view this.
Finally, we can understand the performance of the model by examining its calibration. If the model assigns a probability of 5%, how often does the outcome actually occur? A well calibrated model is one in which the predicted probabilities reflect the probabilities we would observe in the actual data. We can assess the calibration of a model by grouping its predictions into bins and assessing how often we observe the outcome versus how often our model expects to observe the outcome.
A model that is well calibrated will closely follow the dashed line - its expected probabilities match that of the observed probabilities. A model that consistently underestimates the probability of the event will be over this dashed line, be a while a model that overestimates the probability will be under the dashed line.
What games does the model think GOBBluth89 is most likely to own that are not in their collection?
Published | ID | Name | Pr(Owned) | Owned |
2008 | 37111 | Battlestar Galactica: The Board Game | 0.967 | no |
2018 | 244711 | Newton | 0.714 | no |
2016 | 198928 | Pandemic: Iberia | 0.668 | no |
2015 | 172386 | Mombasa | 0.581 | no |
2017 | 221107 | Pandemic Legacy: Season 2 | 0.553 | no |
What games does the model think GOBBluth89 is least likely to own that are in their collection?
Published | ID | Name | Pr(Owned) | Owned |
2019 | 247367 | Air, Land & Sea | 0.001 | yes |
2012 | 123260 | Suburbia | 0.001 | yes |
2019 | 268864 | Undaunted: Normandy | 0.002 | yes |
2009 | 34119 | Tales of the Arabian Nights | 0.002 | yes |
1876 | 521 | Crokinole | 0.002 | yes |
Top 25 games most likely to be owned by the user in each year, highlighting in blue the games that the user has owned.
rank | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
1 | Android: Netrunner | Impulse | Star Wars: Imperial Assault | Mombasa | Arkham Horror: The Card Game | Twilight Imperium: Fourth Edition | Newton | Marvel Champions: The Card Game |
2 | Rex: Final Days of an Empire | Lewis & Clark: The Expedition | Splendor | A Game of Thrones: The Card Game (Second Edition) | Pandemic: Iberia | Pandemic Legacy: Season 2 | Rising Sun | Maracaibo |
3 | Merchant of Venus (Second Edition) | Kobayakawa | Akrotiri | Forbidden Stars | Star Wars: Destiny | Legend of the Five Rings: The Card Game | Cosmic Encounter: 42nd Anniversary Edition | Aftermath |
4 | Archipelago | Legacy: The Testament of Duke de Crecy | Camel Up | Star Wars: X-Wing Miniatures Game – The Force Awakens Core Set | Star Wars: Rebellion | Fallout | Star Wars: X-Wing (Second Edition) | Century: A New World |
5 | Descent: Journeys in the Dark (Second Edition) | Gunrunners | King of New York | Oh My Goods! | New Angeles | Crossfire | KeyForge: Call of the Archons | KeyForge: Age of Ascension |
6 | Star Wars: X-Wing Miniatures Game | A Study in Emerald | Warhammer 40,000: Conquest | Star Wars: Armada | Mansions of Madness: Second Edition | Downforce | Azul: Stained Glass of Sintra | Wavelength |
7 | The Last Banquet | Lost Legacy: Hyakunen Senso to Ryu no Miko | Pandemic: The Cure | Lost Legacy: Second Chronicle – Vorpal Sword & Whitegold Spire | Pandemic: Reign of Cthulhu | Tybor the Builder | Blackout: Hong Kong | Subtext |
8 | Star Wars: The Card Game | Eldritch Horror | Sheriff of Nottingham | TROLL | Hoax (Second Edition) | Codenames: Disney – Family Edition | Gingerbread House | Star Wars: Outer Rim |
9 | Clash of Cultures | Tash-Kalar: Arena of Legends | DungeonQuest Revised Edition | Watson & Holmes | Codenames: Pictures | Sherlock Holmes Consulting Detective: Carlton House & Queen's Park | Coimbra | The Mind Extreme |
10 | Wiz-War (Eighth Edition) | Warhammer: Diskwars | Arcadia Quest | Pandemic Legacy: Season 1 | Sushi Go Party! | Codenames: Duet | Root | Cthulhu: Death May Die |
11 | Cockroach Poker Royal | Caverna: The Cave Farmers | Black Fleet | Love Letter: The Hobbit – The Battle of the Five Armies | Hit Z Road | Star Wars: Destiny – Two-Player Game | Decrypto | Tuki |
12 | Legends of Andor | Relic | Pandemic: Contagion | Blood Rage | Terraforming Mars | Bärenpark | Arkham Horror (Third Edition) | Unmatched Game System |
13 | Dixit Jinx | Room 25 | Colt Express | Biblios Dice | The Pyramid's Deadline | This War of Mine: The Board Game | The Quacks of Quedlinburg | On a Scale of One to T-Rex |
14 | Mafia: Vendetta | BattleLore: Second Edition | Lost Legacy: Binbo Tantei to Inbo no Shiro | Love Letter: Batman | Love Letter Premium | Whitehall Mystery | Gizmos | The Lord of the Rings: Journeys in Middle-Earth |
15 | Starship Merchants | Glass Road | Lost Legacy: Flying Garden | Drakon (Fourth Edition) | Sherlock Holmes Consulting Detective: Jack the Ripper & West End Adventures | Spirit Island | Cosmic Run: Regeneration | Zombicide: Dark Side |
16 | Game of Thrones: The Card Game | Gearworld: The Borderlands | Deep Sea Adventure | Love Letter: Star Wars | Agricola (Revised Edition) | Massive Darkness | Fuji | The Magnificent |
17 | Space Cadets | Slash: Romance without boundaries | Lost Legacy: The Starship | Rights | Game of Thrones: The Iron Throne | Azul | Brikks | Twice as Clever! |
18 | Winter Tales | Patchistory | Johari | Yashima: Legend of the Kami Masters | Dead of Winter: The Long Night | Cosmic Run: Rapid Fire | Ultimate Werewolf Legacy | Blue Banana |
19 | Pirates of the Spanish Main: Shuffling the Deck | BANG! The Dice Game | AquaSphere | Grand Austria Hotel | Dust 1947 | Unlock!: Escape Adventures – The Elite | Everdell | 5211 |
20 | Sky Tango | Blood Bound | Star Wars: Empire vs. Rebellion | Runebound (Third Edition) | Scythe | Runewars Miniatures Game | Century: Eastern Wonders | De Vulgari Eloquentia: Deluxe Edition |
21 | Love Letter | Capo Dei Capi | The Battle at Kemble's Cascade | Flick 'em Up! | Krosmaster Arena 2.0 | Flick 'em Up!: Dead of Winter | The Mind | KeyForge: Worlds Collide |
22 | Android: Infiltration | Ghooost! | Chimera | Arboretum | Thunder & Lightning | Summit: The Board Game | Discover: Lands Unknown | Res Arcana |
23 | Robinson Crusoe: Adventures on the Cursed Island | Blueprints | Istanbul | Through the Ages: A New Story of Civilization | Codenames: Deep Undercover | One Night Ultimate Alien | Heroes of Terrinoth | Azul: Summer Pavilion |
24 | Terra Mystica | BioShock Infinite: The Siege of Columbia | Ultimate Werewolf | T.I.M.E Stories | Lost Legacy: Fourth Chronicle – The Werewolf & Undying Heart | The Godfather: Corleone's Empire | Shadows: Amsterdam | Silver & Gold |
25 | Say Bye to the Villains | Pelican Bay | Deception: Murder in Hong Kong | Tales & Games: The Grasshopper & the Ant | Great Western Trail | Dragon Castle | The World of SMOG: Rise of Moloch | TIME Stories Revolution: Damien 1958 NT |
Interactive table for predictions from resampling.
We’ll validate the model by looking at its predictions for games published in 2020. That is, how well did a model trained on a user’s collection through 2020 perform in predicting games for the user in 2020?
username | outcome | dataset | method | .metric | .estimate |
GOBBluth89 | owned | validation | glmnet | roc_auc | 0.83 |
Table of top 50 games from 2020, highlighting games that the user owns.
Published | ID | Name | Pr(Owned) | Owned |
2020 | 298572 | Cosmic Encounter Duel | 0.366 | no |
2020 | 304285 | Infinity Gauntlet: A Love Letter Game | 0.134 | no |
2020 | 299592 | Beez | 0.101 | no |
2020 | 312318 | Century: Golem Edition – An Endless World | 0.085 | no |
2020 | 294484 | Unmatched: Cobble & Fog | 0.081 | yes |
2020 | 325635 | Unmatched: Little Red Riding Hood vs. Beowulf | 0.072 | yes |
2020 | 316546 | Clever Cubed | 0.068 | no |
2020 | 311193 | Anno 1800 | 0.051 | yes |
2020 | 291457 | Gloomhaven: Jaws of the Lion | 0.051 | yes |
2020 | 256940 | Krosmaster: Blast | 0.051 | no |
2020 | 301607 | KeyForge: Mass Mutation | 0.051 | no |
2020 | 256999 | Project: ELITE | 0.050 | no |
2020 | 299960 | Alma Mater | 0.047 | no |
2020 | 299607 | Capital Lux 2: Generations | 0.046 | no |
2020 | 245658 | Unicorn Fever | 0.044 | no |
2020 | 271524 | TIME Stories Revolution: A Midsummer Night | 0.044 | no |
2020 | 306481 | Tawantinsuyu: The Inca Empire | 0.043 | no |
2020 | 299169 | Spicy | 0.041 | no |
2020 | 287742 | TIME Stories Revolution: The Hadal Project | 0.040 | no |
2020 | 302425 | Unlock!: Mythic Adventures | 0.039 | no |
2020 | 296345 | Sherlock Holmes Consulting Detective: The Baker Street Irregulars | 0.039 | no |
2020 | 312267 | Star Wars: Unlock! | 0.034 | no |
2020 | 327913 | Unlock!: Timeless Adventures – Arsène Lupin und der große weiße Diamant | 0.034 | no |
2020 | 292333 | Cowboys II: Cowboys & Indians Edition | 0.030 | no |
2020 | 315196 | Dungeons & Dragons: Adventure Begins | 0.024 | no |
2020 | 245659 | Vampire: The Masquerade – Vendetta | 0.024 | no |
2020 | 298638 | Sheriff of Nottingham: 2nd Edition | 0.024 | no |
2020 | 315060 | Unmatched: Buffy the Vampire Slayer | 0.024 | yes |
2020 | 293296 | Splendor: Marvel | 0.022 | no |
2020 | 301716 | Glasgow | 0.021 | no |
2020 | 306735 | Under Falling Skies | 0.021 | yes |
2020 | 284777 | Unmatched: Jurassic Park – InGen vs Raptors | 0.021 | no |
2020 | 296892 | Sacred Rites | 0.019 | no |
2020 | 314040 | Pandemic Legacy: Season 0 | 0.019 | no |
2020 | 295949 | Adventure Games: The Grand Hotel Abaddon | 0.018 | no |
2020 | 261403 | Inhuman Conditions | 0.018 | no |
2020 | 297030 | Tekhenu: Obelisk of the Sun | 0.017 | no |
2020 | 287033 | Gray Eminence | 0.015 | no |
2020 | 295687 | Trust Me, I'm a Doctor | 0.015 | no |
2020 | 309113 | Ticket to Ride: Amsterdam | 0.014 | no |
2020 | 257001 | Munchkin Dungeon | 0.014 | no |
2020 | 293889 | Fallout Shelter: The Board Game | 0.013 | no |
2020 | 312965 | Hogs of War: The Miniatures Game | 0.013 | no |
2020 | 302809 | Betrayal at Mystery Mansion | 0.013 | no |
2020 | 301880 | Raiders of Scythia | 0.013 | no |
2020 | 298047 | Marvel United | 0.012 | no |
2020 | 310846 | Urgency | 0.011 | no |
2020 | 286980 | School of Sorcery | 0.011 | no |
2020 | 284665 | Board Royale: The Island | 0.011 | no |
2020 | 301767 | Mysterium Park | 0.011 | no |
We can then refit our model to the training and validation set in order to predict all upcoming games for the user.
Examine the top 50 games for upcoming games, highlighting in blue ones the user already.
Published | ID | Name | Pr(Owned) | Owned |
2022 | 349067 | The Lord of the Rings: The Card Game – Revised Core Set | 0.826 | no |
2022 | 331106 | The Witcher: Old World | 0.473 | no |
2021 | 340466 | Unfathomable | 0.472 | yes |
2022 | 335764 | Unmatched: Battle of Legends, Volume Two | 0.464 | no |
2021 | 341169 | Great Western Trail (Second Edition) | 0.412 | no |
2021 | 343905 | Boonlake | 0.381 | no |
2021 | 350636 | Unlock!: Game Adventures | 0.118 | no |
2021 | 273330 | Bloodborne: The Board Game | 0.109 | no |
2021 | 333553 | For the King (and Me) | 0.096 | no |
2022 | 338067 | 6: Siege – The Board Game | 0.075 | no |
2021 | 329450 | Equinox | 0.074 | no |
2021 | 256680 | Return to Dark Tower | 0.059 | no |
2021 | 291847 | Mantis Falls | 0.058 | no |
2021 | 329670 | Pandemic: Hot Zone – Europe | 0.055 | no |
2021 | 291859 | Riftforce | 0.054 | yes |
2021 | 285967 | Ankh: Gods of Egypt | 0.052 | no |
2021 | 337397 | Warhammer Underworlds: Two-Player Starter Set | 0.048 | no |
2021 | 339905 | Love Letter: Princess Princess Ever After | 0.046 | no |
2021 | 316080 | KeyForge: Dark Tidings | 0.046 | no |
2021 | 346965 | Azul: Queen's Garden | 0.043 | no |
2021 | 330403 | Moon Adventure | 0.042 | no |
2021 | 337787 | Summer Camp | 0.041 | no |
2021 | 314421 | The Fuzzies | 0.040 | no |
2021 | 340677 | Bad Company | 0.037 | no |
2021 | 324242 | Sheepy Time | 0.033 | no |
2021 | 298069 | Cubitos | 0.032 | no |
2022 | 295770 | Frosthaven | 0.030 | no |
2021 | 322708 | Descent: Legends of the Dark | 0.030 | no |
2021 | 316343 | Capital Lux 2: Pocket | 0.029 | no |
2023 | 347909 | Rogue Angels: Legacy of the Burning Suns | 0.029 | no |
2021 | 315937 | X-Men: Mutant Insurrection | 0.028 | no |
2021 | 339906 | The Hunger | 0.027 | no |
2022 | 317511 | Tindaya | 0.027 | no |
2021 | 342942 | Ark Nova | 0.027 | no |
2021 | 298102 | Roll Camera!: The Filmmaking Board Game | 0.026 | no |
2021 | 299255 | Vienna Connection | 0.026 | no |
2021 | 295947 | Cascadia | 0.025 | no |
2021 | 300305 | Nanga Parbat | 0.025 | no |
2022 | 308028 | Drop Drive | 0.023 | no |
2022 | 329862 | Tiny Turbo Cars | 0.023 | no |
2021 | 299684 | Khôra: Rise of an Empire | 0.022 | no |
2021 | 336794 | Galaxy Trucker | 0.021 | no |
2021 | 330401 | Dokojong | 0.021 | no |
2023 | 351817 | Marvel Zombies: A Zombicide Game | 0.020 | no |
2021 | 339031 | The Goonies: Never Say Die | 0.019 | no |
2021 | 342848 | World of Warcraft: Wrath of the Lich King | 0.019 | no |
2021 | 306697 | Smash Up: Marvel | 0.019 | no |
2021 | 294986 | Necromolds: Monster Battles | 0.019 | no |
2021 | 283387 | Rocketmen | 0.019 | no |
2021 | 291572 | Oath: Chronicles of Empire and Exile | 0.018 | no |